完整代码:
import scipy.io as sio
import pandas as pd
import os
def mat2csv():
""" 将当前目录下的data目录下的 .mat 文件转换成多个 .csv文件 :return: """
curr_path = os.path.dirname("E:/AirLines-Passengers-Forecasting-LSTM-master/")
mat_data_path = os.path.join(curr_path, "data")
csv_data_path = os.path.join(curr_path, "csv")
if not os.path.exists(csv_data_path):
os.makedirs(csv_data_path)
if not os.path.exists(mat_data_path):
os.makedirs(mat_data_path)
file_list = os.listdir(mat_data_path)
mat_list = [file_name for file_name in file_list if file_name.endswith(".mat")]
print("find mat file : ", mat_list)
for mat_file in mat_list:
file_path = os.path.join(mat_data_path, mat_file)
mat_data = sio.loadmat(file_path)
version = str(mat_data.get("__version__", "1.0")).replace(".", "_")
for key in mat_data.keys():
if not str(key).startswith("__"):
data = mat_data[key][:]
print(mat_file)
try:
dfdata = pd.DataFrame(data)
except ValueError as e:
print(e.message)
continue
csv_name = "_".join([mat_file.split(".")[0], key, version, '.csv'])
csv_path = os.path.join(csv_data_path, csv_name)
dfdata.to_csv(csv_path)
if __name__ == "__main__":
mat2csv()
所遇错误:
解决办法:
Python3.x中不再支持iterkeys(),所以将iterkeys()改成keys(),即data.keys()